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Factors Affecting Consumer Acceptance of E-Menu in The Klang Valley Restaurant Sector in Malaysia
16 references·0 citing·37 second hop
Factors Affecting Consumer Acceptance of E-Menu in The Klang Valley Restaurant Sector in Malaysia (2023)Factors Affecting Consumer Acceptance of …The rise of online food delivery culture during the COVID-19 pandemic: an analysis of intention and its associated risk (2022)The rise of online food deliv…The effect of online restaurant menus on consumers’ purchase intentions during the COVID-19 pandemic (2021)The effect of online restaura…COVID-19 and digitalization: The great acceleration (2021)COVID-19 and digitalization: …What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? (2020)What factors determining cust…Pandemics, tourism and global change: a rapid assessment of COVID-19 (2020)Pandemics, tourism and global…Evaluating the customers' dining attitudes, e-satisfaction and continuance intention toward mobile food ordering apps (MFOAs): evidence from Bangladesh (2020)Evaluating the customers' din…Digital transformation: Five recommendations for the digitally conscious firm (2020)Digital transformation: Five …Why do people use food delivery apps (FDA)? A uses and gratification theory perspective (2019)Why do people use food delive…Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse (2019)Mobile food ordering apps: An…Technology at the dinner table: Ordering food online through mobile apps (2018)Technology at the dinner tabl…Extended Theory of Planned Behavior (ETPB): Investigating Customers’ Perception of Restaurants’ Sustainability by Testing a Structural Equation Model (2018)Extended Theory of Planned Be…Differences in perceptions about food delivery apps between single-person and multi-person households (2018)Differences in perceptions ab…Adoption of O2O food delivery services in South Korea: The moderating role of moral obligation in meal preparation (2018)Adoption of O2O food delivery…A technology acceptance model for the perception of restaurant service robots for trust, interactivity, and output quality (2018)A technology acceptance model…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…Determining Sample Size for Research Activities (1970)Determining Sample Size for R…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Self-efficacy mechanism in human agency. 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References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology75,250 cited
  • 1970Determining Sample Size for Research Activities22,093 cited
  • 2020Pandemics, tourism and global change: a rapid assessment of COVID-194,785 cited
  • 2021COVID-19 and digitalization: The great acceleration944 cited
  • 2019Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse873 cited
  • 2019Why do people use food delivery apps (FDA)? A uses and gratification theory perspective650 cited
  • 2020Digital transformation: Five recommendations for the digitally conscious firm637 cited
  • 2018Differences in perceptions about food delivery apps between single-person and multi-person households514 cited
  • 2020What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period?514 cited
  • 2018Technology at the dinner table: Ordering food online through mobile apps362 cited
  • 2021The effect of online restaurant menus on consumers’ purchase intentions during the COVID-19 pandemic319 cited
  • 2018Adoption of O2O food delivery services in South Korea: The moderating role of moral obligation in meal preparation303 cited
  • 2018Extended Theory of Planned Behavior (ETPB): Investigating Customers’ Perception of Restaurants’ Sustainability by Testing a Structural Equation Model193 cited

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  • 2022The rise of online food delivery culture during the COVID-19 pandemic: an analysis of intention and its associated risk156 cited
  • 2020Evaluating the customers' dining attitudes, e-satisfaction and continuance intention toward mobile food ordering apps (MFOAs): evidence from Bangladesh147 cited
  • 2018A technology acceptance model for the perception of restaurant service robots for trust, interactivity, and output quality139 cited
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